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Data Science Teaching Assistant Jobs in Toronto, ON

Martin Brower

Business Data Analyst

Mississauga, ON

Work with the global team to identify opportunities for alternative solutions * Assist and support ... Bachelor's degree in computer science, data science or a related field. 2-4+ years of experience ...

Konrad

Data Analyst

Toronto, ON · Hybrid

CA$75K - CA$100K/yr

You will work closely with senior analysts, data scientists, engineers, product managers, designers ... A lot of our design and development best practices and processes are taught during our courses ...

BMO Capital Markets

Principal Data Engineer

Toronto, ON

CA$94K - CA$176K/yr

Works with different stakeholders and teams to assist with data-related technical issues and ... Bachelor Degree in Computer Science, Data Science, Data Engineering * 3-5 years experience as a ...

Munich Re

Data and AI Enterprise Architect

Toronto, ON · On-site

Your Role: * Assist in the development of a multiyear Data, Analytics, and AI roadmap , aligned ... Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ...

SHEIN

Data Analyst (Open to New Grads)

Vaughan, ON

... Assist in the construction of the area's business analysis system, and create a KPI system that ... Qualifications : - Bachelor's degree in business management, statistics, finance, data science and ...

Autodesk

Principal Data Analyst

Toronto, ON · On-site

Bachelor's degree in a quantitative field such as Data Science, Statistics, Mathematics, or a ... assistants de donnees legers, et creer des flux de travail reutilisables avec validation ...

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All JobsData Science Teaching JobsData Science Teaching Assistant JobsData Science Teaching Assistant Jobs in Toronto, ON

Data Science Teaching Assistant information

What is a data science teaching assistant?

Data Science Teaching Assistants (TAs) support instructors and students in data science courses or bootcamps. They help clarify complex concepts, assist with coding exercises, answer student questions, and sometimes grade assignments or provide feedback. TAs often have a strong foundation in programming, statistics, and data analysis, and they play a key role in enhancing the learning experience. Their involvement can range from leading small group sessions to providing one-on-one help during office hours.

What skills and qualifications are needed to be a data science teaching assistant?

To thrive as a Data Science Teaching Assistant, you need a solid understanding of data science concepts, programming (especially Python or R), statistics, and often a relevant degree or coursework. Familiarity with tools such as Jupyter Notebooks, data visualization libraries, and version control systems like Git is typically required. Strong communication, patience, and the ability to explain complex topics clearly are standout soft skills in this role. These skills enable effective student support, reinforce learning outcomes, and contribute to a positive educational environment.

What challenges do data science teaching assistants face when supporting student learning, and how can they be addressed?

Data Science Teaching Assistants often encounter challenges such as explaining complex concepts in accessible ways, managing diverse student skill levels, and providing timely feedback on assignments. To address these challenges, it's important to use clear examples, encourage open communication, and adapt explanations to different learning styles. Collaborating closely with course instructors and leveraging office hours or online discussion forums can also help TAs support students more effectively and ensure no one falls behind.

What is the difference between Data Science Teaching Assistant vs Data Analyst?

AspectData Science Teaching AssistantData Analyst
Required CredentialsOften a degree in data science, statistics, or related field; familiarity with data toolsDegree in statistics, data analysis, or related field; proficiency in data tools
Work EnvironmentEducational settings, labs, online coursesBusiness, corporate, or research environments
Employer & Industry UsageUniversities, online education platformsCorporations, consulting firms, government agencies
Common Search & Comparison IntentUnderstanding teaching roles in data science educationUnderstanding data analysis tasks and roles

While both roles involve working with data and require similar technical skills, a Data Science Teaching Assistant primarily supports educational activities, assisting instructors and students in learning data science concepts. In contrast, a Data Analyst focuses on analyzing data to generate insights for business decisions. The roles differ mainly in their work environment and primary objectives, though they share foundational data skills.

How to become a data science teaching assistant?

To become a data science teaching assistant, candidates typically need a strong background in data science, statistics, or related fields, along with proficiency in programming languages like Python or R. Relevant experience with data analysis, machine learning, and teaching or mentoring skills are also important, and some positions may require a graduate degree or teaching experience. Gaining familiarity with tools such as Jupyter notebooks and SQL can enhance qualifications.

What are popular job titles related to Data Science Teaching Assistant jobs in Toronto, ON?

For Data Science Teaching Assistant jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Data Science Teaching Assistant jobs in Toronto, ON look for?

The top searched job categories for Data Science Teaching Assistant jobs in Toronto, ON are:

Data Science Teaching Assistant jobs near you
Infographic showing various Data Science Teaching Assistant job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Business Data Analyst

Martin Brower

Mississauga, ON

Full-time

Medical, Dental, Vision

Posted 7 days ago

Martin-Brower rating

7.7

Company rating: 7.7 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

104th of 366 rated logistics

Job description

Responsibilities

Position Summary: 

As a Business Data Analyst, you will play a key role in analyzing and interpreting data from multiple sources, leverage data driven insights and automation solutions to guide strategic business decisions, streamline data workflows, and improve operational efficiency. This role requires strong technical skills, with a focus on data automation and process optimization. The ideal candidate possesses a strong analytical mindset and a strong problem-solving abilities, and can translate complex datasets into scalable, automated solutions and actionable business recommendations.

Position Responsibilities may include, but not limited to:

Data Automation, Analysis & Interpretation

  • Extract, clean, and analyze large datasets from multiple data sources (JDE, KOMPASS, MBSYNC, Samsara, Paragon, among others) and data warehouse (Snowflake) to enable automated insights into business performance
  • Design and maintain automated workflows and data pipelines to reduce manual reporting and improve data accuracy. Conduct deep-dive analyses to identify patterns, trends, and relationships that inform business decisions
  • Assist in the design and deployment of analytics analysis to support process optimization and data insights
  • Perform root cause analysis of business challenges and recommend automated, data-driven solutions
  • Identify opportunities for process improvements, cost reductions, and efficiency gains using data and automation
  • Ensure data quality and accuracy through proper validation techniques, best practices and governance processes

Reporting and Visualization

  • Design, develop, and maintain automated reports, dashboards, and visualizations
  • Collaborate with department heads to define and track Key Performance Indicators (KPIs) relevant to the company’s strategic goals
  • Translate business questions into data requirements and provide concise answers through self-service reporting and automation

Alternative Solutions (Machine Learning and AI Integration)

  • Work with the global team to identify opportunities for alternative solutions
  • Assist and support in the deployment of models that support operational decision-making
  • Evaluate results and continuously improve automated solutions to align with business objectives
  • Stay updated on emerging technologies and integrate modern automation techniques into business workflows

Data Quality & Governance

  • Maintain data integrity, ensure consistency across automated processes. Collaborate with data ingestion and IT teams to close data gaps and improve automation readiness
  • Ensure compliance with data privacy and internal governance standards
  • Ensure data quality and accuracy through proper validation techniques, best practices and governance processes

Stakeholder Collaboration

  • Work closely with various business units (Operations & Transportation, Finance, Supply Chain, ROP, REX, Centralized Routing) to understand their business needs and develop tailored automation or reporting solutions. Present automated data insights and recommendations to senior leadership
  • Serve as a liaison between technical teams (data ingestion, engineering) and business stakeholders to align automation efforts with priorities

Project Management

  • Lead or contribute to cross-functional projects focused on
  • data automation, insight generation, and continuous improvement. Track project milestones and ensure timely delivery of automation initiatives
  • Other projects or duties as assigned

Qualifications

 Required Skills and Experience:

  • Bachelor’s degree in computer science, data science or a related field. 2-4+ years of experience data automation and process optimization. Experience building Extract, Transform & Load (ETL) processes and managing data pipelines across multiple data sources and warehouses
  • Willingness to understand business operations and identify automation opportunities
  • Experience of scripting languages (like Python, R, SQL) and data process workflow automation tools
  • Strong analytical and problem-solving skills with attention to detail and commitment to data accuracy
  • Excellent communication skills with the ability to explain complex data topics to non-technical stakeholders. Eagerness to explore alternative solutions that support data automation and process optimization insight delivery
  • Collaborative mindset with a passion for innovation and continuous improvement
  • This position must pass a post-offer background check

Preferred Skills and Experience:

  • Master’s degree preferred

Benefits
At the Reyes Family of Businesses, our Total Rewards Strategy prioritizes the holistic well-being of our employees. This position offers a comprehensive benefits package that includes Medical, Dental, Vision coverage.
Physical Demands
The Company is committed to providing reasonable accommodation to applicants and employees in accordance with applicable law. Requests for accommodation should be directed to your point of contact in the Talent Acquisition or Human Resources departments.
Background Check
Offers of employment are contingent upon successful completion of a background check.
Pay Transparency
Our compensation philosophy embraces diverse factors for fair pay decisions, valuing skills, experience, and the needs of our business. Moreover, this role may have the opportunity to participate in a discretionary incentive program, subject to program rules.
Transparency in the use of AI
Our recruitment process may utilize artificial intelligence (AI)-enabled tools, such as virtual assistant, to support candidates in exploring job opportunities, initiating applications, and obtaining answers to common questions. Artificial intelligence (AI) is not used to make final hiring decisions.All employment decisions are made by human reviewers.Qualifications:

 Required Skills and Experience:

  • Bachelor’s degree in computer science, data science or a related field. 2-4+ years of experience data automation and process optimization. Experience building Extract, Transform & Load (ETL) processes and managing data pipelines across multiple data sources and warehouses
  • Willingness to understand business operations and identify automation opportunities
  • Experience of scripting languages (like Python, R, SQL) and data process workflow automation tools
  • Strong analytical and problem-solving skills with attention to detail and commitment to data accuracy
  • Excellent communication skills with the ability to explain complex data topics to non-technical stakeholders. Eagerness to explore alternative solutions that support data automation and process optimization insight delivery
  • Collaborative mindset with a passion for innovation and continuous improvement
  • This position must pass a post-offer background check

Preferred Skills and Experience:

  • Master’s degree preferred
Education:UNAVAILABLEEmployment Type: FULL_TIME

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